Adurbadagan and arran (Caucasian albania) in the late sasanian period
Bibliographic record
Abstract
The article considers the Sasanian King Khusraw I Anushirwan (Pahlavi: Xusrō I Anōīrvān) reforms to improve the empires military and administrative architecture during the wars with Byzantium and the Turks. The author discusses the establishment of the region or kust-ī Ādurbādagān, which allowed the nomination of Arrāns general. The author believes that it was a key element in the Sassanian strategy to enforce both central and military power in the defense sensitive Caucasia challenged by the Byzantium and nomads. The reforms pulled Arrān (Albania) to be closer to the Sasanian crown, enforcing the dynastic ties between Sasanian shāhanshāh and Arrānshāh. These reforms facilitated the incorporation of Arranian (Albanian) troops into the Sasanian Army under Ādurbādagāns general command to shield Ērānahr from the Khazars and Turks incursions. The author argues that the reform initiated the projecting of Ādurbādagāns name, military, and administrative functions in Arrān forming a strong interrelationship between the southern and northern sides of the Araxes as the entire Ādurbādagān ahr. Since Late Antiquity, Ādurbādagān and Arrān became interchangeable names and were in use on the northern bank of the Araxes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".